import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

marks=[13,45,63,78]
student=['ABC','QOR','EFB','TOB']
plt.plot(marks,student)
plt.xlabel('Marks')
plt.ylabel('Student name')
plt.show()

student=['A','B','C','D']
attendence=[90,85,73,88]
plt.plot(attendence,student)
plt.xlabel('Attendence')
plt.ylabel('Student name')
plt.show()

x=[10,20,30,40,50]
y=[100,200,300,400,500]
plt.scatter(x,y,label='stars',color='green',marker='*',s=30)
plt.show()

x=np.arange(0,15)
y=np.arange(0,15)
x
y
plt.scatter(x,y,c='r')
plt.xlabel('X axis')
plt.ylabel('y axis')
plt.title('Scatter plot')
plt.show()

act=['eat','sleep','work','play']
slices=[3,7,8,6]
color=['r','y','g','b']
plt.pie(slices,labels=act,colors=color,startangle=90,shadow=True,explode=(0.1,0.1,0.1,0.1),radius=1.2,autopct='%1.1f%%')
plt.legend()
plt.show()

feedback=['Good','excellent','Perfect','Ok']
slices=[4,10,3,8]
color=['y','r','b','g']
plt.pie(slices,labels=feedback,colors=color,startangle=90,shadow=True,explode=(0.1,0.1,0.1,0.1),radius=1.2,autopct='%1.1f%%')
plt.legend()
plt.show()

x = [1, 2, 3, 4, 5]
y1 = [10, 12, 14, 16, 18]
y2 = [5, 7, 9, 11, 13]
y3 = [2, 4, 6, 8, 10]
plt.fill_between(x, y1, color='blue')
plt.fill_between(x, y2, color='green')
plt.plot(x, y1, color='red')
plt.plot(x, y2, color='black')
plt.legend(['y1','y2'])
plt.show()

height = [10, 24, 36, 40, 5]
names = ['one', 'two', 'three', 'four', 'five']
c1=['red', 'green'] 
c2=['b', 'g']
plt.bar (names, height, width=0.8, color=c1)
plt.xlabel('x - axis')
plt.ylabel('y - axis')
plt.title('My bar chart!')
plt.show()

x = [2,1,6,4,2,4,8,9,4,2,4,10,6,4,5,7,7,3,2,7,5,3,5,9,2,1]
plt.hist(x, bins = 10, color='blue', alpha=0.5)
plt.show()

np.random.seed(0)
data=np.random.normal(loc=0, scale=1, size=100)
data

fig, ax= plt.subplots()
ax.boxplot(data)
ax.set_xlabel('Data')
ax.set_ylabel('Values')
ax.set_title('Box Plot')